1 citations · 1 across the 5 of their papers we have counts for
5 papers
Differential invariants for SE(2)-equivariant networks
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero +1
Symmetry is present in many tasks in computer vision, where the same class of objects can appear transformed, e.g. rotated due to different camera orientations, or scaled due to pe…
Fully trainable Gaussian derivative convolutional layer
Valentin Penaud--Polge, Santiago Velasco-Forero, Jesus Angulo
The Gaussian kernel and its derivatives have already been employed for Convolutional Neural Networks in several previous works. Most of these papers proposed to compute filters by…
MorphoActivation: Generalizing ReLU activation function by mathematical morphology
Santiago Velasco-Forero, Jesús Angulo
This paper analyses both nonlinear activation functions and spatial max-pooling for Deep Convolutional Neural Networks (DCNNs) by means of the algebraic basis of mathematical morph…
Morphological adjunctions represented by matrices in max-plus algebra for signal and image processing
Samy Blusseau, Santiago Velasco-Forero, Jesus Angulo +1
In discrete signal and image processing, many dilations and erosions can be written as the max-plus and min-plus product of a matrix on a vector. Previous studies considered operat…
Automatic Selection of Stochastic Watershed Hierarchies
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
The segmentation, seen as the association of a partition with an image, is a difficult task. It can be decomposed in two steps: at first, a family of contours associated with a ser…